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Record W4417126269 · doi:10.1037/lhb0000639

Adverse inferences: The impact of suspect silence on lay perceptions.

2025· article· en· W4417126269 on OpenAlexaff
Mary Catlin, Kyle C Scherr, Kimberley A. Clow, Christopher J. Normile, Daniel Ben Ralph

Bibliographic record

VenueLaw and Human Behavior · 2025
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsSuspectSilenceLegal psychologyAdjudicationForensic psychology

Abstract

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OBJECTIVES: We conducted three studies that examined how preinterrogation rights decisions could impact lay people's perceptions of suspects. HYPOTHESES: Grounded in the literature on attribution errors and biases, we proposed that suspects who remained silent would be viewed and treated more negatively, generally, and especially when formal invocations were offered, compared to suspects who waived their rights. METHOD: Participants in Studies 1 and 2 acted as the lead detective in the investigation of an online murder simulation. Participants were randomly assigned to a 2 (informal silence: waived vs. exercised) × 2 (formal silence: waived vs. exercised) between-subjects design. Study 3 used an online vignette (adopted from previous research) where participants were randomly assigned to one of three levels in a between-subjects design: informed that the defendant had either waived or exercised their preinterrogation rights or were not informed of the defendant's decision. In all three studies, participants then judged the suspect's guilt and the interrogation procedures. RESULTS: Overall, we found that suspects who remained silent were viewed and treated more negatively than those who waived their rights. Exploratory mediation analyses across all three studies suggest that the formal decision to remain silent negatively impacted perceptions of the suspect, which, in turn, increased guilt judgments. CONCLUSIONS: The results of the present studies suggest that preinterrogation decisions negatively impact judgments of guilt-not based on relevant legal factors, but assumptions arising from suspects' behavior. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.398
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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